Data Engineer at TextNow, based in Toronto, Canada. IIT Chicago alum (M.S. Computer Science, 3.72 GPA) with hands-on experience across healthcare and analytics domains. I specialize in designing and scaling ETL pipelines, data automation, and machine learning integrations — bridging the gap between business needs and technical execution. Winner of the TextNow AI Hackathon 2025. PyData Chicago speaker & NumFOCUS contributor.
A selection of projects spanning machine learning, NLP, data engineering, and voice interfaces.
Winner of the TextNow AI Hackathon 2025. Built an AI-powered support assistant that classifies user questions against Slack history, suggests relevant past answers, and escalates unmatched queries via chatbot to Jira with contextual ticket creation.
Analyzed the impact of mandatory calorie labeling on restaurant menu choices using causal inference and statistical modeling. Presented at PyData Chicago.
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Built a web analytics dashboard that tracks recruiter engagement patterns on LinkedIn profiles using web scraping and data visualization pipelines.
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Applied supervised ML models (Random Forest, SVM, XGBoost) on Chicago crime dataset to predict crime type and location, achieving 85%+ classification accuracy.
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Designed and published an Amazon Alexa skill that recites couplets from the ancient Tamil classic Tirukkural, with contextual explanations and keyword search.
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NLP pipeline that crawls major news outlets, applies sentiment analysis and topic modeling, then surfaces a daily "optimism score" with positive story highlights.
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Computer vision system for monitoring patient activity and posture in clinical settings, using image classification and time-series anomaly detection.
Learn MoreSpecialties: ETL Development • Data Modeling • Data Quality & Accuracy • API Integration • Data Pipeline Optimization • Machine Learning Deployment
"If you hang around the barbershop long enough… sooner or later you're gonna get a haircut." — Denzel Washington
Master of Science in Computer Science
2016 – 2018 | GPA: 3.72 / 4.0
Concentration in Data Science, Software Engineering & Database Systems
Speaker — June 2018. Presented text mining and causal inference research on restaurant calorie labeling policy.
Guest Speaker — June 2018 – Present. Contributing to open-source scientific computing community outreach.
Winner — 2025. Built an AI support assistant that classifies questions against Slack history, suggests relevant answers, and escalates to Jira with contextual ticket creation.
SpirIT-ED Manager & LEAP Coordinator (2011–2013). Led community engagement and educational outreach initiatives.
I'm always open to discussing data science projects, research collaborations, or just connecting. Reach out through any of the channels below.